Gender: Female 
Age: 25-34
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Married 
First language: English 
Religion: Nothing 
Education: Graduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 7
Home: Rent 
Employment: Employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Father's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Exercise;Use social media;Watch sports 
Devices used daily: Laptop;Smartphone;Tablet;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Nearly every day
LLMs used: GitHub Copilot;Google Gemini;Claude 
LLM use cases: Coding;Writing (e.g., composing emails);Analyze data;Learning (e.g., explaining complex concepts in simple terms) 
Contexts of LLM use: Work;School/University;Personal 
Prompt 1: Can you write me a PowerBI code that will remove the a comma from only the last row of data in a table?
Prompt 2: Please assist with a macro that can append date to a table in tab [main data] from [template] tab and clear cells c1-c7 once complete
Prompt 3: Can you explain the difference between basic and diluted EPS?
Prompt 4: Please write a follow up thank email for my recent interview for position of Learning Manager.
Prompt 5: Plack Co. purchased 10,000 shares (2% ownership) of Ty Corp. on February 14, Year 1. Plack received a stock dividend of 2,000 shares on April 30, Year 1, when the market value per share was $35. Ty paid a cash dividend of $2 per share on December 15, Year 1. In its Year 1 income statement, what amount should Plack report as dividend income?
Prompt 6: Can you write three sentences about how I was a successful people leader in the last year for my annual review
Prompt 7: Can you assist with correcting error in this SQL query? [cannot provide query pasted after for security reasons]
Prompt 8: How long does the CBA take to approve initial applications to sit for CPA exam?
Prompt 9: Which CPA specialty exam is the easiest to pass?
Prompt 10: Can PowerQuery merge multiple PDF tables into one?